Results 31 to 40 of about 265,367 (299)
Solvent content of protein crystals from diffraction intensities by Independent Component Analysis [PDF]
, 2003 An analysis of the protein content of several crystal forms of proteins has been performed. We apply a new numerical technique, the Independent Component Analysis (ICA), to determine the volume fraction of the asymmetric unit occupied by the protein ...
A. Lamura +34 more
core +1 more source
A novel fixed-point algorithm for constrained independent component analysis
EURASIP Journal on Advances in Signal Processing, 2019 Constrained independent component analysis (ICA) is an effective method for solving the blind source separation with a prior knowledge. However, most constrained ICA algorithms are proposed for the real-valued sources.
Guobing Qian +3 more
doaj +1 more source
Application of independent component analysis to Fermilab Booster
Physical Review Special Topics. Accelerators and Beams, 2005 Autocorrelation is applied to analyze sets of finite-sampling data such as the turn-by-turn beam position monitor (BPM) data in an accelerator. This method of data analysis, called the independent component analysis (ICA), is shown to be a powerful beam ...
Xiaobiao Huang +3 more
doaj +1 more source
Analysis of scoliosis trunk deformities using ICA [PDF]
, 2012 This paper describes a method for analyzing scoliosis trunk deformities using Independent Component Analysis (ICA). Our hypothesis is that ICA can capture the scoliosis deformities visible on the trunk.
Adankon, Mathias M. +3 more
core +1 more source
Independent component analysis recovers consistent regulatory signals from disparate datasets
PLoS Comput. Biol., 2021 The availability of bacterial transcriptomes has dramatically increased in recent years. This data deluge could result in detailed inference of underlying regulatory networks, but the diversity of experimental platforms and protocols introduces critical ...
Anand V. Sastry +5 more
semanticscholar +1 more source
DCT-Based Preprocessing Approach for ICA in Hyperspectral Data Analysis
Sensors, 2018 The huge quantity of information and the high spectral resolution of hyperspectral imagery present a challenge when performing traditional processing techniques such as classification.
Kamel Boukhechba +2 more
doaj +1 more source
Data in Brief, 2019 Here we present an electroencephalographic (EEG) collection of 71-channel datasets recorded from 14 subjects (7 males, 7 females, aged 20–40 years) while performing a visual working memory task with a T set of 150 Independent Component Analysis (ICA ...
Fiorenzo Artoni +2 more
doaj +1 more source
An algorithm for separation of mixed sparse and Gaussian sources. [PDF]
PLoS ONE, 2017 Independent component analysis (ICA) is a ubiquitous method for decomposing complex signal mixtures into a small set of statistically independent source signals.
Ameya Akkalkotkar, Kevin Scott Brown
doaj +1 more source
Watermark Detection and Extraction Using Independent Component Analysis Method
EURASIP Journal on Advances in Signal Processing, 2002 This paper proposes a new image watermarking technique, which adopts Independent Component Analysis (ICA) for watermark detection and extraction process (i.e., dewatermarking). Watermark embedding is performed in the spatial domain of the original image.
Yu Dan, Sattar Farook, Ma Kai-Kuang
doaj +1 more source
Independent EEG sources are dipolar. [PDF]
PLoS ONE, 2012 Independent component analysis (ICA) and blind source separation (BSS) methods are increasingly used to separate individual brain and non-brain source signals mixed by volume conduction in electroencephalographic (EEG) and other electrophysiological ...
Arnaud Delorme +4 more
doaj +1 more source